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Shradha AI Technologies (BOM:543976) LT-Debt-to-Total-Asset : 0.00 (As of Dec. 2024)


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What is Shradha AI Technologies LT-Debt-to-Total-Asset?

LT Debt to Total Assets is a measurement representing the percentage of a corporation's assets that are financed with loans and financial obligations lasting more than one year. The ratio provides a general measure of the financial position of a company, including its ability to meet financial requirements for outstanding loans. It is calculated as a company's Long-Term Debt & Capital Lease Obligationdivide by its Total Assets. Shradha AI Technologies's long-term debt to total assests ratio for the quarter that ended in Dec. 2024 was 0.00.

Shradha AI Technologies's long-term debt to total assets ratio stayed the same from Dec. 2023 (0.00) to Dec. 2024 (0.00).


Shradha AI Technologies LT-Debt-to-Total-Asset Historical Data

The historical data trend for Shradha AI Technologies's LT-Debt-to-Total-Asset can be seen below:

* For Operating Data section: All numbers are indicated by the unit behind each term and all currency related amount are in USD.
* For other sections: All numbers are in millions except for per share data, ratio, and percentage. All currency related amount are indicated in the company's associated stock exchange currency.

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Shradha AI Technologies LT-Debt-to-Total-Asset Chart

Shradha AI Technologies Annual Data
Trend Mar18 Mar19 Mar20 Mar21 Mar22 Mar23 Mar24
LT-Debt-to-Total-Asset
Get a 7-Day Free Trial - - - - 0.01

Shradha AI Technologies Quarterly Data
Mar18 Mar19 Mar20 Mar21 Mar22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23 Mar24 Jun24 Sep24 Dec24
LT-Debt-to-Total-Asset Get a 7-Day Free Trial Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only - 0.01 - - -

Shradha AI Technologies LT-Debt-to-Total-Asset Calculation

Shradha AI Technologies's Long-Term Debt to Total Asset Ratio for the fiscal year that ended in Mar. 2024 is calculated as

LT Debt to Total Assets (A: Mar. 2024 )=Long-Term Debt & Capital Lease Obligation (A: Mar. 2024 )/Total Assets (A: Mar. 2024 )
=2.903/585.62
=0.00

Shradha AI Technologies's Long-Term Debt to Total Asset Ratio for the quarter that ended in Dec. 2024 is calculated as

LT Debt to Total Assets (Q: Dec. 2024 )=Long-Term Debt & Capital Lease Obligation (Q: Dec. 2024 )/Total Assets (Q: Dec. 2024 )
=0/0
=

* For Operating Data section: All numbers are indicated by the unit behind each term and all currency related amount are in USD.
* For other sections: All numbers are in millions except for per share data, ratio, and percentage. All currency related amount are indicated in the company's associated stock exchange currency.


Shradha AI Technologies  (BOM:543976) LT-Debt-to-Total-Asset Explanation

LT Debt to Total Asset is a measurement representing the percentage of a corporation's assets that are financed with loans and financial obligations lasting more than one year. The ratio provides a general measure of the financial position of a company, including its ability to meet financial requirements for outstanding loans. A year-over-year decrease in this metric would suggest the company is progressively becoming less dependent on debt to grow their business.


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Shradha AI Technologies Business Description

Traded in Other Exchanges
N/A
Address
Kingsway Road, Shradha House, 1st Floor, Room No.345, Nagpur, MH, IND, 440 001
Shradha AI Technologies Ltd Formerly Shradha Industries Ltd is engaged in trading of items like Computers, Computer peripherals, Computer Hardware and Software, data processors, computerized telecommunication systems and networks, calculators, tabulators, machines, appliances, accessories, devices and instruments of every kind and activation for use of industrial, commercial or any other purpose and distribution of IT hardware, software & security products distribution which is broadly categorized into IT consumers & enterprise segment. Its operational activity pertaining to its products offering includes procurement, warehousing, technical support, material movement and evaluation-based credit facilities to the resellers based on their financial credibility.

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